Articles | Volume 20, issue 20
https://doi.org/10.5194/acp-20-12247-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-20-12247-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Decennial time trends and diurnal patterns of particle number concentrations in a central European city between 2008 and 2018
Department of Applied Physics, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Department of Environmental and Biological Sciences, University of
Eastern Finland, P.O. Box 1627,
70211 Kuopio, Finland
Zoltán Németh
Institute of Chemistry, Eötvös University, P.O. Box 32, 1518 Budapest,
Hungary
Veronika Varga
Institute of Chemistry, Eötvös University, P.O. Box 32, 1518 Budapest,
Hungary
Tamás Weidinger
Department of Meteorology, Eötvös University, P.O. Box 32, 1518
Budapest, Hungary
Ville Leinonen
Department of Applied Physics, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Taina Yli-Juuti
Department of Applied Physics, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Institute of Chemistry, Eötvös University, P.O. Box 32, 1518 Budapest,
Hungary
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Máté Vörösmarty, Gaëlle Uzu, Jean-Luc Jaffrezo, Pamela Dominutti, Zsófia Kertész, Enikő Papp, and Imre Salma
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Ville Leinonen, Miska Olin, Sampsa Martikainen, Panu Karjalainen, and Santtu Mikkonen
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Beáta Molnár, Tamás Weidinger, and Péter Tasnádi
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Zijun Li, Noora Hyttinen, Miika Vainikka, Olli-Pekka Tikkasalo, Siegfried Schobesberger, and Taina Yli-Juuti
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Ville Leinonen, Harri Kokkola, Taina Yli-Juuti, Tero Mielonen, Thomas Kühn, Tuomo Nieminen, Simo Heikkinen, Tuuli Miinalainen, Tommi Bergman, Ken Carslaw, Stefano Decesari, Markus Fiebig, Tareq Hussein, Niku Kivekäs, Radovan Krejci, Markku Kulmala, Ari Leskinen, Andreas Massling, Nikos Mihalopoulos, Jane P. Mulcahy, Steffen M. Noe, Twan van Noije, Fiona M. O'Connor, Colin O'Dowd, Dirk Olivie, Jakob B. Pernov, Tuukka Petäjä, Øyvind Seland, Michael Schulz, Catherine E. Scott, Henrik Skov, Erik Swietlicki, Thomas Tuch, Alfred Wiedensohler, Annele Virtanen, and Santtu Mikkonen
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Atmos. Chem. Phys., 22, 1195–1208, https://doi.org/10.5194/acp-22-1195-2022, https://doi.org/10.5194/acp-22-1195-2022, 2022
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Accurate saturation vapor pressure estimates of atmospherically relevant organic compounds are critical for modeling secondary organic aerosol (SOA) formation. We investigated vapor pressures of highly oxygenated SOA constituents using state-of-the-art computational and experimental methods. We found a good agreement between low and extremely low vapor pressures estimated using the two methods, and the smallest molecules detected in our experiment were likely products of thermal decomposition.
Arto Heitto, Kari Lehtinen, Tuukka Petäjä, Felipe Lopez-Hilfiker, Joel A. Thornton, Markku Kulmala, and Taina Yli-Juuti
Atmos. Chem. Phys., 22, 155–171, https://doi.org/10.5194/acp-22-155-2022, https://doi.org/10.5194/acp-22-155-2022, 2022
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For atmospheric aerosol particles to take part in cloud formation, they need to be at least a few tens of nanometers in diameter. By using a particle condensation model, we investigated how two types of chemical reactions, oligomerization and decomposition, of organic molecules inside the particle may affect the growth of secondary aerosol particles to these sizes. We show that the effect is potentially significant, which highlights the importance of increasing understanding of these processes.
Zijun Li, Angela Buchholz, Arttu Ylisirniö, Luis Barreira, Liqing Hao, Siegfried Schobesberger, Taina Yli-Juuti, and Annele Virtanen
Atmos. Chem. Phys., 21, 18283–18302, https://doi.org/10.5194/acp-21-18283-2021, https://doi.org/10.5194/acp-21-18283-2021, 2021
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We compared the evolution of two types of secondary organic aerosol (SOA) particles during isothermal evaporation. The sesquiterpene SOA particles demonstrated higher resilience to evaporation than α-pinene SOA particles generated under comparable conditions. In-depth analysis showed that under high-relative-humidity conditions, particulate water drove the evolution of particulate constituents by reducing the particle viscosity and initiating chemical aqueous-phase processes.
Janne Lampilahti, Hanna E. Manninen, Tuomo Nieminen, Sander Mirme, Mikael Ehn, Iida Pullinen, Katri Leino, Siegfried Schobesberger, Juha Kangasluoma, Jenni Kontkanen, Emma Järvinen, Riikka Väänänen, Taina Yli-Juuti, Radovan Krejci, Katrianne Lehtipalo, Janne Levula, Aadu Mirme, Stefano Decesari, Ralf Tillmann, Douglas R. Worsnop, Franz Rohrer, Astrid Kiendler-Scharr, Tuukka Petäjä, Veli-Matti Kerminen, Thomas F. Mentel, and Markku Kulmala
Atmos. Chem. Phys., 21, 12649–12663, https://doi.org/10.5194/acp-21-12649-2021, https://doi.org/10.5194/acp-21-12649-2021, 2021
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We studied aerosol particle formation and growth in different parts of the planetary boundary layer at two different locations (Po Valley, Italy, and Hyytiälä, Finland). The observations consist of airborne measurements on board an instrumented Zeppelin and a small airplane combined with comprehensive ground-based measurements.
Imre Salma, Wanda Thén, Máté Vörösmarty, and András Zénó Gyöngyösi
Atmos. Chem. Phys., 21, 11289–11302, https://doi.org/10.5194/acp-21-11289-2021, https://doi.org/10.5194/acp-21-11289-2021, 2021
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Cloud condensation nuclei (CCN) and their properties were explored in this study. CCN modify the intensity and other properties of the sunlight reaching the Earth’s surface. These properties are primarily influenced by the number of droplets, the droplet size and the cloud residence time. CCN also influence the hydrological cycle (including the amount and intensity of precipitation), vegetation and its interactions with the carbon cycle, as well as atmospheric chemistry, physics and dynamics.
Imre Salma, Wanda Thén, Pasi Aalto, Veli-Matti Kerminen, Anikó Kern, Zoltán Barcza, Tuukka Petäjä, and Markku Kulmala
Atmos. Chem. Phys., 21, 2861–2880, https://doi.org/10.5194/acp-21-2861-2021, https://doi.org/10.5194/acp-21-2861-2021, 2021
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Antti Ruuskanen, Sami Romakkaniemi, Harri Kokkola, Antti Arola, Santtu Mikkonen, Harri Portin, Annele Virtanen, Kari E. J. Lehtinen, Mika Komppula, and Ari Leskinen
Atmos. Chem. Phys., 21, 1683–1695, https://doi.org/10.5194/acp-21-1683-2021, https://doi.org/10.5194/acp-21-1683-2021, 2021
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The study focuses mainly on cloud-scavenging efficiency of absorbing particulate matter (mainly black carbon) but additionally covers cloud-scavenging efficiency of scattering particles and statistics of cloud condensation nuclei. The main findings give insight into how black carbon is distributed in different particle sizes and the sensitivity to cloud scavenged. The main findings are useful for large-scale modelling for evaluating cloud scavenging.
Imre Salma, Máté Vörösmarty, András Zénó Gyöngyösi, Wanda Thén, and Tamás Weidinger
Atmos. Chem. Phys., 20, 15725–15742, https://doi.org/10.5194/acp-20-15725-2020, https://doi.org/10.5194/acp-20-15725-2020, 2020
Short summary
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Motor vehicle road traffic in Budapest was reduced by approximately 50% of its ordinary level due to COVID-19. In parallel, concentrations of most criteria air pollutants declined by 30–60%. Change rates of NO and NO2 with relative change in traffic intensity were the largest, total particle number concentration showed considerable dependency, while particulate matter mass concentrations did not appear to be related to urban traffic. Concentrations of O3 showed an increasing tendency.
Lubna Dada, Ilona Ylivinkka, Rima Baalbaki, Chang Li, Yishuo Guo, Chao Yan, Lei Yao, Nina Sarnela, Tuija Jokinen, Kaspar R. Daellenbach, Rujing Yin, Chenjuan Deng, Biwu Chu, Tuomo Nieminen, Yonghong Wang, Zhuohui Lin, Roseline C. Thakur, Jenni Kontkanen, Dominik Stolzenburg, Mikko Sipilä, Tareq Hussein, Pauli Paasonen, Federico Bianchi, Imre Salma, Tamás Weidinger, Michael Pikridas, Jean Sciare, Jingkun Jiang, Yongchun Liu, Tuukka Petäjä, Veli-Matti Kerminen, and Markku Kulmala
Atmos. Chem. Phys., 20, 11747–11766, https://doi.org/10.5194/acp-20-11747-2020, https://doi.org/10.5194/acp-20-11747-2020, 2020
Short summary
Short summary
We rely on sulfuric acid measurements in four contrasting environments, Hyytiälä, Finland; Agia Marina, Cyprus; Budapest, Hungary; and Beijing, China, representing semi-pristine boreal forest, rural environment in the Mediterranean area, urban environment, and heavily polluted megacity, respectively, in order to define the sources and sinks of sulfuric acid in these environments and to derive a new sulfuric acid proxy to be utilized in locations and during periods when it is not measured.
Olli-Pekka Tikkanen, Angela Buchholz, Arttu Ylisirniö, Siegfried Schobesberger, Annele Virtanen, and Taina Yli-Juuti
Atmos. Chem. Phys., 20, 10441–10458, https://doi.org/10.5194/acp-20-10441-2020, https://doi.org/10.5194/acp-20-10441-2020, 2020
Short summary
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We compared the volatility distributions of secondary organic aerosol (SOA) constituents estimated from isothermal evaporation experiments from either particle size change data, by process modelling and global optimization, or from mass spectrometer data with positive matrix factorization analysis. Our results show that, despite the two very different estimation methods, the volatility distributions are comparable if uncertainties are taken into account.
Gabriella Lükő, Péter Torma, Tamás Krámer, Tamás Weidinger, Zeljko Vecenaj, and Branko Grisogono
Adv. Sci. Res., 17, 175–182, https://doi.org/10.5194/asr-17-175-2020, https://doi.org/10.5194/asr-17-175-2020, 2020
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This paper proposes new relationships for momentum exchange through the air–water interface for medium size lakes. High-resolution wind and wave measurements were performed simultaneously in onshore and offshore stations in Lake Balaton. Our results show that the surface drag is remarkably higher compared to open ocean conditions due to the very young wave state which is a typical feature of midsize freshwater lakes.
Cited articles
Aalto, P., Hämeri, K., Becker, E., Weber, R., Salm, J., Mäkelä,
J., Hoell, C., O'Dowd, C., Karlsson, H., Väkevä, M., Koponen, I. K.,
Buzorius, G., and Kulmala, M.: Physical characterization of aerosol
particles during nucleation events, Tellus B, 53, 344–358, 2001.
Aalto, P., Hämeri, K., Paatero, P., Kulmala, M., Bellander, T.,
Berglind, N., Bouso, L., Castaño-Vinyals, G., Sunyer, J., Cattani, G.,
Marconi, A., Cyrys, J., von Klot, S., Peters, A., Zetzsche, K., Lanki, T.,
Pekkanen, J., Nyberg, F., Sjövall, B., and Forastiere, F.: Aerosol
particle number concentration measurements in five European cities using
TSI-3022 condensation particle counter over a three-year period during
health effects of air pollution on susceptible subpopulations, J. Air Waste
Manage. Assoc., 55, 1064–1076, 2005.
Asmi, A., Collaud Coen, M., Ogren, J. A., Andrews, E., Sheridan, P., Jefferson, A., Weingartner, E., Baltensperger, U., Bukowiecki, N., Lihavainen, H., Kivekäs, N., Asmi, E., Aalto, P. P., Kulmala, M., Wiedensohler, A., Birmili, W., Hamed, A., O'Dowd, C., G Jennings, S., Weller, R., Flentje, H., Fjaeraa, A. M., Fiebig, M., Myhre, C. L., Hallar, A. G., Swietlicki, E., Kristensson, A., and Laj, P.: Aerosol decadal trends – Part 2: In-situ aerosol particle number concentrations at GAW and ACTRIS stations, Atmos. Chem. Phys., 13, 895–916, https://doi.org/10.5194/acp-13-895-2013, 2013.
Avino, P., Casciardi, S., Fanizza, C., and Manigrasso, M.: Deep
investigation of ultrafine particles in urban air, Aerosol Air Qual. Res.,
11, 654–663, 2011.
Birmili, W., Wiedensohler, A., Heintzenberg, J., and Lehmann, K.:
Atmospheric particle number size distribution in central Europe: Statistical
relations to air masses and meteorology, J. Geophys. Res.-Atmos.,
106, 32005-18, 2001.
Braakhuis, H. M., Park, M. V., Gosens, I., De Jong, W. H., and Cassee, F.
R.: Physicochemical characteristics of nanomaterials that affect pulmonary
inflammation, Part. Fibre Toxicol., 11, 18, https://doi.org/10.1186/1743-8977-11-18,
2014.
Brines, M., Dall'Osto, M., Beddows, D. C. S., Harrison, R. M., Gómez-Moreno, F., Núñez, L., Artíñano, B., Costabile, F., Gobbi, G. P., Salimi, F., Morawska, L., Sioutas, C., and Querol, X.: Traffic and nucleation events as main sources of ultrafine particles in high-insolation developed world cities, Atmos. Chem. Phys., 15, 5929–5945, https://doi.org/10.5194/acp-15-5929-2015, 2015.
Cassee, F. R., Héroux, M.-E., Gerlofs-Nijland, M. E., and Kelly, F. J.:
Particulate matter beyond mass: recent health evidence on the role of
fractions, chemical constituents and sources of emission, Inhal. Toxicol.
25, 802–812, 2013.
Carslaw, K. S., Lee, L. A., Reddington, C. L., Pringle, K. J., Rap, A.,
Forster, P. M., Mann, G. W., Spracklen, D. V., Woodhouse, M. T., Regayre, L.
A., and Pierce, J. R: Large contribution of natural aerosols to uncertainty
in indirect forcing, Nature, 503, 67–71, 2013.
Dada, L., Ylivinkka, I., Baalbaki, R., Li, C., Guo, Y., Yan, C., Yao, L., Sarnela, N., Jokinen, T., Daellenbach, K. R., Yin, R., Deng, C., Chu, B., Nieminen, T., Wang, Y., Lin, Z., Thakur, R. C., Kontkanen, J., Stolzenburg, D., Sipilä, M., Hussein, T., Paasonen, P., Bianchi, F., Salma, I., Weidinger, T., Pikridas, M., Sciare, J., Jiang, J., Liu, Y., Petäjä, T., Kerminen, V.-M., and Kulmala, M.: Sources and sinks driving sulfuric acid concentrations in contrasting environments: implications on proxy calculations, Atmos. Chem. Phys., 20, 11747–11766, https://doi.org/10.5194/acp-20-11747-2020, 2020.
Dal Maso, M., Kulmala, M., Lehtinen, K. E. J., Mäkelä, J. M., Aalto,
P. P., and O'Dowd, C.: Condensation and coagulation sinks and formation of
nucleation mode particles in coastal and boreal forest boundary layers, J.
Geophys. Res., 107, 8097, https://doi.org/10.1029/2001jd001053, 2002.
Dal Maso, M., Kulmala, M., Riipinen, I., Wagner, R., Hussein, T., Aalto, P.
P., and Lehtinen, K. E. J.: Formation and growth of fresh atmospheric
aerosols: eight years of aerosol size distribution data from SMEAR II,
Hyytiälä, Finland, Boreal Environ. Res., 10, 323–336, 2005.
Dall'Osto, M., Querol, X., Alastuey, A., O'Dowd, C., Harrison, R. M., Wenger, J., and Gómez-Moreno, F. J.: On the spatial distribution and evolution of ultrafine particles in Barcelona, Atmos. Chem. Phys., 13, 741–759, https://doi.org/10.5194/acp-13-741-2013, 2013.
Directive 2009/30/EC: Official Journal of the European Union, L 140, EN,
88–113, 2009.
Dunne, E. M., Gordon, H., Kürten, A., Almeida, J., Duplissy, J.,
Williamson, C., Ortega, I. K., Pringle, K. J., Adamov, A., Baltensperger,
U., Barmet, P., Benduhn, F., Bianchi, F., Breitenlechner, M., Clarke, A.,
Curtius, J., Dommen, J., Donahue, N. M., Ehrhart, S., Flagan, R. C.,
Franchin, A., Guida, R., Hakala, J., Hansel, A., Heinritzi, M., Jokinen, T.,
Kangasluoma, J., Kirkby, J., Kulmala, M., Kupc, A., Lawler, M. J.,
Lehtipalo, K., Makhmutov, V., Mann, G., Mathot, S., Merikanto, J.,
Miettinen, P., Nenes, A., Onnela, A., Rap, A., Reddington, C. L. S.,
Riccobono, F., Richards, N. A. D., Rissanen, M. P., Rondo, L., Sarnela, N.,
Schobesberger, S., Sengupta, K., Simon, M., Sipilä, M., Smith, J. N.,
Stozkhov, Y., Tomé, A., Tröstl, J., Wagner, P. E., Wimmer, D.,
Winkler, P. M., Worsnop, D. R., and Carslaw, K. S.: Global atmospheric
particle formation from CERN CLOUD measurements, Science, 354, 1119–1124,
2016.
Durbin, J. and Koopman, S. J.: Time series analysis by state space methods,
Oxford University Press, Oxford, 2012.
Giechaskiel, B., Lahde, T., Suarez-Bertoa, R., Clairotte, M., Grigoratos,
T., Zardini, A., Perujo, A., and Martini, G.: Particle number measurements
in the European legislation and future JRC activities, Combustion Engines,
174, 3–16, 2018.
Gordon, H., Sengupta, K., Rap, A., Duplissy, J., Frege, C., Williamson, C.,
Heinritzi, M., Simon, M., Yan, C., Almeida, J., Tröstl, J., Nieminen,
T., Ortega, I. K., Wagner, R., Dunne, E. M., Adamov, A., Amorim, A.,
Bernhammer, A. K., Bianchi, F., Breitenlechner, M., Brilke, S., Chen, X.,
Craven, J. S., Dias, A., Ehrhart, S., Fischer, L., Flagan, R. C., Franchin,
A., Fuchs, C., Guida, R., Hakala, J., Hoyle, C. R., Jokinen, T., Junninen,
H., Kangasluoma, J., Kim, J., Kirkby, J., Krapf, M., Kürten, A.,
Laaksonen, A., Lehtipalo, K., Makhmutov, V., Mathot, S., Molteni, U., Monks,
S. A., Onnela, A., Peräkylä, O., Piel, F., Petäjä, T.,
Praplan, A. P., Pringle, K. J., Richards, N. A. D., Rissanen, M. P., Rondo,
L., Sarnela, N., Schobesberger, S., Scott, C. E., Seinfeld, J. H., Sharma,
S., Sipilä, M., Steiner, G., Stozhkov, Y., Stratmann, F., Tomé, A.,
Virtanen, A., Vogel, A. L., Wagner, A. C., Wagner, P. E., Weingartner, E.,
Wimmer, D., Winkler, P. M., Ye, P., Zhang, X., Hansel, A., Dommen, J.,
Donahue, N. M., Worsnop, D. R., Baltensperger, U., Kulmala, M., Curtius, J.,
and Carslaw, K. S.: Reduced anthropogenic aerosol radiative forcing caused
by biogenic new particle formation, P. Natl. Acad. Sci. USA, 113,
12053–12058, 2016.
Guo, H., Wang, D. W., Cheung, K., Ling, Z. H., Chan, C. K., and Yao, X. H.:
Observation of aerosol size distribution and new particle formation at a
mountain site in subtropical Hong Kong, Atmos. Chem. Phys., 12, 9923–9939,
https://doi.org/10.5194/acp-12-9923-2012, 2012.
Hamed, A., Korhonen, H., Sihto, S.-L., Joutsensaari, J., Järvinen, H.,
Petäjä, T., Arnold, F., Nieminen, T., Kulmala, M., Smith, J. N.,
Lehtinen, K. E. J., and Laaksonen, A.: The role of relative humidity in continental new
particle formation, J. Geophys. Res., 116, D03202, https://doi.org/10.1029/2010JD014186,
2011.
Hussein, T., Puustinen, A., Aalto, P. P., Mäkelä, J. M., Hämeri, K., and Kulmala, M.: Urban aerosol number size distributions, Atmos. Chem. Phys., 4, 391–411, https://doi.org/10.5194/acp-4-391-2004, 2004.
Hyvönen, S., Junninen, H., Laakso, L., Dal Maso, M., Grönholm, T., Bonn, B., Keronen, P., Aalto, P., Hiltunen, V., Pohja, T., Launiainen, S., Hari, P., Mannila, H., and Kulmala, M.: A look at aerosol formation using data mining techniques, Atmos. Chem. Phys., 5, 3345–3356, https://doi.org/10.5194/acp-5-3345-2005, 2005.
Károssy, C.: A Kárpát-medence Péczely-féle
makroszinoptikus időjárási helyzeteinek katalógusa 1881–2015
(Catalogue of the Péczely macrosynoptic weather types for the Carpathian
Basin 1881–2015, in Hungarian), OSKAR Kiadó, Budapest, 2016.
Kerminen, V.-M., Paramonov, M., Anttila, T., Riipinen, I., Fountoukis, C., Korhonen, H., Asmi, E., Laakso, L., Lihavainen, H., Swietlicki, E., Svenningsson, B., Asmi, A., Pandis, S. N., Kulmala, M., and Petäjä, T.: Cloud condensation nuclei production associated with atmospheric nucleation: a synthesis based on existing literature and new results, Atmos. Chem. Phys., 12, 12037–12059, https://doi.org/10.5194/acp-12-12037-2012, 2012.
Kerminen, V.-M., Chen, X., Vakkari, V., Petäjä, T., Kulmala, M., and
Bianchi, F.: Atmospheric new particle formation and growth: review of field
observations, Environ. Res. Lett., 13, 103003, https://doi.org/10.1088/1748-9326/aadf3c, 2018.
KSH: National register of road vehicles (in Hungarian), Hungarian Central
Statistical Office, Budapest, 2019.
Kulmala, M., Dal Maso, M., Mäkelä, J. M., Pirjola, L.,
Väkevä, M., Aalto, P., Miikkulainen, P., Hämeri, K., and O'Dowd,
C. D.: On the formation, growth and composition of nucleation mode
particles, Tellus B, 53, 479–490, 2001.
Kulmala, M., Petäjä, T., Nieminen, T., Sipilä, M., Manninen, H.
E., Lehtipalo, K., Dal Maso, M., Aalto, P. P., Junninen, H., Paasonen, P.,
Riipinen, I., Lehtinen, K. E. J., Laaksonen, A., and Kerminen, V.-M.:
Measurement of the nucleation of atmospheric aerosol particles, Nat.
Protoc., 7, 1651–1667, https://doi.org/10.1038/nprot.2012.091, 2012.
Kulmala, M., Kontkanen, J., Junninen, H., Lehtipalo, K., Manninen, H. E.,
Nieminen, T., Petäjä, T., Sipilä, M., Schobesberger, S.,
Rantala, P., Franchin, A., Jokinen, T., Järvinen, E.,
Äijälä, M., Kangasluoma, J., Hakala, J., Aalto, P. P., Paasonen,
P., Mikkilä, J., Vanhanen, J., Aalto, J., Hakola, H., Makkonen, U.,
Ruuskanen, T., Mauldin, R. L. III, Duplissy, J., Vehkamäki, H.,
Bäck, J., Kortelainen, A., Riipinen, I., Kurtén, T., Johnston, M.
V., Smith, J. N., Ehn, M., Mentel, T. F., Lehtinen, K. E. J., Laaksonen, A.,
Kerminen, V.-M., and Worsnop, D. R.: Direct observations of atmospheric
aerosol nucleation, Science, 339, 943–946, 2013.
Kulmala, M., Petäjä, T., Ehn, M., Thornton, J., Sipilä, M.,
Worsnop, D. R., and Kerminen, V.-M.: Chemistry of atmospheric nucleation: On
the recent advances on precursor characterization and atmospheric cluster
composition in connection with atmospheric new particle formation, Annu.
Rev. Phys. Chem., 65, 21–37, 2014.
Kulmala, M., Kerminen, V. M., Petäjä, T., Ding, A. J., and Wang, L.:
Atmospheric gas-to-particle conversion: why NPF events are observed in
megacities, Faraday Discuss., 200, 271–288, https://doi.org/10.1039/C6FD00257A, 2017.
Laine, M.: Introduction to Dynamic Linear Models for Time Series Analysis,
in: Geodetic Time Series Analysis in Earth
Sciences, edirted by: Montillet, J. P. and Bos, M., Springer, 139–156, 2020.
Maheras, P., Tolika, K., Tegoulias, I., Anagnostopoulou, Ch., Szpirosz, K.
Károssy, Cs., and Makra, L.: Comparison of an automated classification
system with an empirical classification of circulation patterns over the
Pannonian basin, Central Europe, Meteorol. Atmos. Phys., 131, 739–751,
https://doi.org/10.1007/s00703-018-0601-x, 2018.
Makkonen, R., Asmi, A., Korhonen, H., Kokkola, H., Järvenoja, S., Räisänen, P., Lehtinen, K. E. J., Laaksonen, A., Kerminen, V.-M., Järvinen, H., Lohmann, U., Bennartz, R., Feichter, J., and Kulmala, M.: Sensitivity of aerosol concentrations and cloud properties to nucleation and secondary organic distribution in ECHAM5-HAM global circulation model, Atmos. Chem. Phys., 9, 1747–1766, https://doi.org/10.5194/acp-9-1747-2009, 2009.
Masiol, M., Squizzato, S., Chalupa, D., Utell, M. J., Rich, D. Q., and
Hopke, P. K.: Long-term trends in submicron particle concentrations in a
metropolitan area of the northeastern United States, Sci. Total Environ.,
633, 59–70, 2018.
McCulloch, C. E., Searle, S. R., and Neuhaus, J. M.: Generalized, linear,
and mixed models, 2nd ed., Wiley, New York, 2008.
McFiggans, G., Mentel, T. F., Wildt, J., Pullinen, I., Kang, S., Kleist, E.,
Schmitt, S., Springer, M., Tillmann, R., Wu, C., Zhao, D., Hallquist, M.,
Faxon, C., Le Breton, M., Hallquist, A. M., Simpson, D., Bergstroem, R.,
Jenkin, M. E., Ehn, M., Thornton, J. A., Alfarra, M. R., Bannan, T. J.,
Percival, C. J., Priestley, M., Topping, D., and Kiendler-Scharr, A.:
Secondary organic aerosol reduced by mixture of atmospheric vapours, Nature,
565, 587–593, 2019.
Merikanto, J., Spracklen, D. V., Mann, G. W., Pickering, S. J., and Carslaw, K. S.: Impact of nucleation on global CCN, Atmos. Chem. Phys., 9, 8601–8616, https://doi.org/10.5194/acp-9-8601-2009, 2009.
Mikkonen, S., Lehtinen, K. E. J., Hamed, A., Joutsensaari, J., Facchini, M.
C., and Laaksonen, A.: Using discriminant analysis as a nucleation event
classification method, Atmos. Chem. Phys., 6, 5549–5557,
https://doi.org/10.5194/acp-6-5549-2006, 2006.
Mikkonen, S., Korhonen, H., Romakkaniemi, S., Smith, J. N., Joutsensaari,
J., Lehtinen, K. E. J., Hamed, A., Breider, T. J., Birmili, W., Spindler,
G., Plass-Duelmer, C., Facchini, M. C., and Laaksonen, A.: Meteorological
and trace gas factors affecting the number concentration of atmospheric
Aitken (Dp=50 nm) particles in the continental boundary layer:
parameterization using a multivariate mixed effects model, Geosci. Model
Dev., 4, 1–13, https://doi.org/10.5194/gmd-4-1-2011, 2011a.
Mikkonen, S., Romakkaniemi, S., Smith, J. N., Korhonen, H., Petäjä,
T., Plass-Duelmer, C., Boy, M., McMurry, P. H., Lehtinen, K. E. J.,
Joutsensaari, J., Hamed, A., Mauldin III, R. L., Birmili, W., Spindler, G.,
Arnold, F., Kulmala, M., and Laaksonen, A.: A statistical proxy for
sulphuric acid concentration, Atmos. Chem. Phys., 11 11319–11334,
https://doi.org/10.5194/acp-11-11319-2011, 2011b.
Mikkonen, S., Laine, M., Mäkelä, H. M., Gregow, H., Tuomenvirta, H.,
Lahtinen, M., and Laaksonen, A.: Trends in the average temperature in Finland,
1847-2013, Stoch. Environ. Res. Risk Ass., 29, 1521–1529, 2015.
Moore, K. F., Ning, Z., Ntziachristos, L., Schauer, J. J., and Sioutas, C.:
Daily variation in the properties of urban ultrafine aerosol – Part I:
Physical characterization and volatility, Atmos. Environ., 41, 8633–8646,
2007.
Moosmuller, H., Chakrabarty, R. K., and Arnott, W: Aerosol light absorption
and its measurement: A review, J. Quant. Sp. Radiat. Transf., 110,
844–878, 2009.
Németh, Z. and Salma, I.: Spatial extension of nucleating air masses in the Carpathian Basin, Atmos. Chem. Phys., 14, 8841–8848, https://doi.org/10.5194/acp-14-8841-2014, 2014.
Németh, Z., Rosati, B., Zíková, N., Salma, I., Bozó, L.,
Dameto de España, C., Schwarz, J., Ždímal, V., and
Wonaschütz, A.: Comparison of atmospheric new particle formation and
growth events in three Central European cities, Atmos. Environ., 178,
191–197, 2018.
Nieminen, T., Asmi, A., Dal Maso, M., P. Aalto, P., Keronen, P.,
Petäjä, T., Kulmala, M., and Kerminen, V.-M.: Trends in atmospheric
new-particle formation: 16 years of observations in a boreal-forest
environment, Boreal Env. Res., 19, 191–214, 2014.
Nieminen, T., Kerminen, V.-M., Petäjä, T., Aalto, P. P., Arshinov, M., Asmi, E., Baltensperger, U., Beddows, D. C. S., Beukes, J. P., Collins, D., Ding, A., Harrison, R. M., Henzing, B., Hooda, R., Hu, M., Hõrrak, U., Kivekäs, N., Komsaare, K., Krejci, R., Kristensson, A., Laakso, L., Laaksonen, A., Leaitch, W. R., Lihavainen, H., Mihalopoulos, N., Németh, Z., Nie, W., O'Dowd, C., Salma, I., Sellegri, K., Svenningsson, B., Swietlicki, E., Tunved, P., Ulevicius, V., Vakkari, V., Vana, M., Wiedensohler, A., Wu, Z., Virtanen, A., and Kulmala, M.: Global analysis of continental boundary layer new particle formation based on long-term measurements, Atmos. Chem. Phys., 18, 14737–14756, https://doi.org/10.5194/acp-18-14737-2018, 2018.
Oberdörster, G., Oberdörster, E., and Oberdörster, J.:
Nanotoxicology: an emerging discipline evolving from studies of ultrafine
particles, Environ. Health Perspect., 113, 823–839, 2005.
Ohlwein, S., Kappeler, R., Joss, M. K., Künzli, N., and Hoffmann, B.:
Health effects of ultrafine particles: a systematic literature review update
of epidemiological evidence, Int. J. Public Health, 685, 547–559, 2019.
Ostro, B., Hu, J., Goldberg, D., Reynolds, P., Hertz, A., Bernstein, L., and
Kleeman, M. J.: Associations of mortality with long-term exposures to fine
and ultrafine particles, species and sources: results from the California
teachers study cohort, Environ. Health Perspect., 123, 549–556, 2015.
Paasonen, P., Kupiainen, K., Klimont, Z., Visschedijk, A., Denier van der Gon, H. A. C., and Amann, M.: Continental anthropogenic primary particle number emissions, Atmos. Chem. Phys., 16, 6823–6840, https://doi.org/10.5194/acp-16-6823-2016, 2016.
Péczely, G.: Grosswetterlagen in Ungarn (Large-scale weather situations
in Hungary, in German), Publication of the Hungarian Meteorological
Institute, 30, Budapest, 86, pp., 1957.
Petäjä, T., Mauldin, III, R. L., Kosciuch, E., McGrath, J., Nieminen, T., Paasonen, P., Boy, M., Adamov, A., Kotiaho, T., and Kulmala, M.: Sulfuric acid and OH concentrations in a boreal forest site, Atmos. Chem. Phys., 9, 7435–7448, https://doi.org/10.5194/acp-9-7435-2009, 2009.
Petris, G., Petrone, S., and Campagnoli, P.: Dynamic linear models,
Springer, New York, 2009.
Pinheiro, J. C. and Bates, D. M.: Mixed-Effects Models in S and S-PLUS,
Springer, 2000.
Platt, S. M., El Haddad, I., Pieber, S. M., Zardini, A. A., Suarez-Bertoa,
R., Clairotte, M., Daellenbach, K. R., Huang, R.-J., Slowik, J. G.,
Hellebust, S., Temime-Roussel, B., Marchand, N., de Gouw, J., Jimenez, J.
L., Hayes, P. L., Robinson, A. L., Baltensperger, U., Astorga, C., and
Prévôt, A. S. H.: Gasoline cars produce more carbonaceous
particulate matter than modern filter-equipped diesel cars, Sci. Rep., 7,
4926, https://doi.org/10.1038/s41598-017-03714-9, 2017.
Pöschl, U., Rudich, Y., and Ammann, M.: Kinetic model framework for aerosol and cloud surface chemistry and gas-particle interactions – Part 1: General equations, parameters, and terminology, Atmos. Chem. Phys., 7, 5989–6023, https://doi.org/10.5194/acp-7-5989-2007, 2007.
Raes, F., Van Dingenen, R., Vignati, E., Wilson, J., Putaud, J. P.,
Seinfeld, J. H., and Adams, P.: Formation and cycling of aerosol in the
global troposphere, Atmos. Environ., 34, 4215–4240, 2000.
Rich, D. Q., Zareba, W., Beckett, W., Hopke, P. K., Oakes, D., Frampton, M.
W., Bisognano, J., Chalupa, D., Bausch, J., O'Shea, K., Wang, Y., and Utell,
M. J.: Are ambient ultrafine, accumulation mode, and fine particles
associatedwith adverse cardiac responses in patients undergoing cardiac
rehabilitation?, Environ. Health Perspect., 120, 1162–1169, 2012.
Saha, P. K., Robinson, E. S., Shah, R. U., Zimmerman, N., Apte, J. S.,
Robinson, A. L., and Presto, A. A.: Reduced ultrafine particle concentration
in urban air: changes in nucleation and anthropogenic emissions, Environ.
Sci. Technol., 52, 6798–6806, 2018.
Salma, I., Borsós, T., Weidinger, T., Aalto, P., Hussein, T., Dal Maso, M., and Kulmala, M.: Production, growth and properties of ultrafine atmospheric aerosol particles in an urban environment, Atmos. Chem. Phys., 11, 1339–1353, https://doi.org/10.5194/acp-11-1339-2011, 2011.
Salma, I., Borsós, T., Németh, Z., Weidinger, T., Aalto, T., and
Kulmala, M.: Comparative study of ultrafine atmospheric aerosol within a
city, Atmos. Environ., 92, 154–161, 2014.
Salma, I., Németh, Z., Weidinger, T., Kovács, B., and Kristóf, G.: Measurement, growth types and shrinkage of newly formed aerosol particles at an urban research platform, Atmos. Chem. Phys., 16, 7837–7851, https://doi.org/10.5194/acp-16-7837-2016, 2016a.
Salma, I., Németh, Z., Kerminen, V.-M., Aalto, P., Nieminen, T., Weidinger, T., Molnár, Á., Imre, K., and Kulmala, M.: Regional effect on urban atmospheric nucleation, Atmos. Chem. Phys., 16, 8715–8728, https://doi.org/10.5194/acp-16-8715-2016, 2016b.
Salma, I., Varga, V., and Németh, Z.: Quantification of an atmospheric nucleation and growth process as a single source of aerosol particles in a city, Atmos. Chem. Phys., 17, 15007–15017, https://doi.org/10.5194/acp-17-15007-2017, 2017.
Salma, I. and Németh, Z.: Dynamic and timing properties of new aerosol particle formation and consecutive growth events, Atmos. Chem. Phys., 19, 5835–5852, https://doi.org/10.5194/acp-19-5835-2019, 2019.
Schmid, O. and Stoeger, T.: Surface area is the biologically most effective
dose metric for acute nanoparticle toxicity in the lung, J. Aerosol Sci.,
99, 133–143, 2016.
Sihto, S.-L., Mikkilä, J., Vanhanen, J., Ehn, M., Liao, L., Lehtipalo, K., Aalto, P. P., Duplissy, J., Petäjä, T., Kerminen, V.-M., Boy, M., and Kulmala, M.: Seasonal variation of CCN concentrations and aerosol activation properties in boreal forest, Atmos. Chem. Phys., 11, 13269–13285, https://doi.org/10.5194/acp-11-13269-2011, 2011.
Sipilä, M., Berndt, T., Petäjä, T., Brus, D., Vanhanen, J.,
Stratmann, F., Patokoski, J., Mauldin, R. L., Hyvärinen, A. P.,
Lihavainen, H., and Kulmala, M.: The role of sulfuric acid in atmospheric
nucleation, Science, 327, 1243, https://doi.org/10.1126/science.1180315, 2010.
Spracklen, D. V., Carslaw, K. S., Kulmala, M., Kerminen, V.-M., Mann, G. W., and Sihto, S.-L.: The contribution of boundary layer nucleation events to total particle concentrations on regional and global scales, Atmos. Chem. Phys., 6, 5631–5648, https://doi.org/10.5194/acp-6-5631-2006, 2006.
Sun, J., Birmili, W., Hermann, M., Tuch, T., Weinhold, K., Merkel, M.,
Rasch, F., Müller, T., Schladitz, A., Bastian, S., Löschau, G.,
Cyrys, J., Gu, J., Flentje, H., Briel, B., Asbach, C., Kaminski, H., Ries,
L., Sohmer, R., Gerwig, H., Wirtz, K., Meinhardt, F., Schwerin, A., Bath,
O., Ma, N., and Wiedensohler, A.: Decreasing trends of particle number and
black carbon mass concentrations at 16 observational sites in Germany from
2009 to 2018, Atmos. Chem. Phys., 20, 7049–7068,
https://doi.org/10.5194/acp-20-7049-2020, 2020.
Wehner, B. and Wiedensohler, A.: Long term measurements of submicrometer urban aerosols: statistical analysis for correlations with meteorological conditions and trace gases, Atmos. Chem. Phys., 3, 867–879, https://doi.org/10.5194/acp-3-867-2003, 2003.
Wihersaari, H., Pirjola, L., Karjalainen, P., Saukko, E., Kuuluvainen, H.,
Kulmala, K., Keskinen, J., and Rönkkö, T.: Particulate emissions of a
modern diesel passenger car under laboratory and real-world transient
driving conditions, Environ. Pollut., 265, 114948,
https://doi.org/10.1016/j.envpol.2020.114948, 2020.
Wiedensohler, A., Birmili, W., Nowak, A., Sonntag, A., Weinhold, K., Merkel, M., Wehner, B., Tuch, T., Pfeifer, S., Fiebig, M., Fjäraa, A. M., Asmi, E., Sellegri, K., Depuy, R., Venzac, H., Villani, P., Laj, P., Aalto, P., Ogren, J. A., Swietlicki, E., Williams, P., Roldin, P., Quincey, P., Hüglin, C., Fierz-Schmidhauser, R., Gysel, M., Weingartner, E., Riccobono, F., Santos, S., Grüning, C., Faloon, K., Beddows, D., Harrison, R., Monahan, C., Jennings, S. G., O'Dowd, C. D., Marinoni, A., Horn, H.-G., Keck, L., Jiang, J., Scheckman, J., McMurry, P. H., Deng, Z., Zhao, C. S., Moerman, M., Henzing, B., de Leeuw, G., Löschau, G., and Bastian, S.: Mobility particle size spectrometers: harmonization of technical standards and data structure to facilitate high quality long-term observations of atmospheric particle number size distributions, Atmos. Meas. Tech., 5, 657–685, https://doi.org/10.5194/amt-5-657-2012, 2012.
Willmott, C. J., Matsuura, K., and Robeson, S. M.: Ambiguities inherent in
sums-of-squares-based error statistics, Atmos. Environ., 43, 749–752,
https://doi.org/10.1016/j.atmosenv.2008.10.005, 2009.
Yu, F., Luo, G., Bates, T. S., Anderson, B., Clarke, A., Kapustin, V.,
Yantosca, R. M., Wang, Y., and Wu, S.: Spatial distributions of particle
number concentrations in the global troposphere: simulations, observations,
and implications for nucleation mechanisms, J. Geophys. Res., 115, D17205,
https://doi.org/10.1029/2009JD013473, 2010.
Zaidan, M. A., Haapasilta, V., Relan, R., Paasonen, P., Kerminen, V.-M., Junninen, H., Kulmala, M., and Foster, A. S.: Exploring non-linear associations between atmospheric new-particle formation and ambient variables: a mutual information approach, Atmos. Chem. Phys., 18, 12699–12714, https://doi.org/10.5194/acp-18-12699-2018, 2018.
Zhang, R., Wang, G., Guo, S., Zamora, M. L., Ying, Q., Lin, Y., Wang, W.,
Hu, M., and Wang, Y.: Formation of urban fine particulate matter, Chem.
Rev., 115, 3803–3855, 2015.
Short summary
We determined decennial statistical time trends and diurnal statistical patterns of atmospheric particle number concentrations in various relevant size fractions in the city centre of Budapest in an interval of 2008–2018. The mean overall decrease rate of particles in different size fractions was approximately −5 % scaled for the 10-year measurement interval. The decline can be interpreted as a consequence of the decreased anthropogenic emissions in the city.
We determined decennial statistical time trends and diurnal statistical patterns of atmospheric...
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